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Precision (Data)

Precision is a description of random errors, a measure of statistical variability. Precision, related to reproducibility and repeatability, is the degree to which repeated measurements under unchanged conditions show the same results.

PubMed Health Glossary
(Source: Wikipedia)

About Precision in Study Results

Precision is the degree of certainty surrounding an effect estimate with respect to a given outcome, based on the sufficiency of sample size and number of events.

A precise estimate is one that would allow users to reach a clinically useful conclusion (e.g., treatment A is more effective than treatment B).
AHRQ - Agency for Healthcare Research and Quality

Articles on this research topic

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Findings of Bayesian Mixed Treatment Comparison Meta-Analyses: Comparison and Exploration Using Real-World Trial Data and Simulation [Internet]

Specific objectives were to examine the following: (1a) how results of Bayesian mixed treatment comparison (MTC) methods compare with several commonly considered frequentist indirect methods; (1b) how Bayesian MTC methods perform for different evidence network patterns; (2) how meta-regression can be used with Bayesian MTC meta-analysis to explore heterogeneity; and (3) how findings of Bayesian MTC meta-analyses compare for different numbers of studies and different network pattern assumptions. For objectives 1 and 2, we aimed to conduct case studies using data from two recent comparative effectiveness reviews (CERs). For objective 3, we aimed to use simulated data.

Development of the RTI Item Bank on Risk of Bias and Precision of Observational Studies [Internet]

To create a practical and validated item bank for evaluating the risk of bias and precision of observational studies of interventions or exposures included in systematic evidence reviews.

Meta‐analysis using individual participant data or summary aggregate data

Meta‐analysis is a statistical technique to combine results from separate research studies. A meta‐analysis can be performed using summary data published in a study report, referred to as aggregate data (AD), or using data collected on each individual participant in the study, referred to as individual participant data (IPD). A meta‐analysis of individual participant data (IPD‐MA) can take longer and be more expensive than a meta‐analysis of aggregate data (AD‐MA), but the IPD‐MA can be more reliable and can answer much more detailed questions than an AD‐MA.

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